P
Panagiotis Tzirakis
Researcher at Imperial College London
Publications - 46
Citations - 1860
Panagiotis Tzirakis is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 12, co-authored 33 publications receiving 996 citations. Previous affiliations of Panagiotis Tzirakis include Facebook & University of Crete.
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Journal ArticleDOI
End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
TL;DR: This work proposes an emotion recognition system using auditory and visual modalities using a convolutional neural network to extract features from the speech, while for the visual modality a deep residual network of 50 layers is used.
Journal ArticleDOI
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias,Panagiotis Tzirakis,Mihalis A. Nicolaou,Athanasios Papaioannou,Guoying Zhao,Björn Schuller,Irene Kotsia,Stefanos Zafeiriou +7 more
TL;DR: In this article, an end-to-end deep neural architecture was proposed for predicting continuous emotion dimensions based on visual cues. But the performance of the proposed architecture was not as good as the state-of-the-art.
Proceedings ArticleDOI
End-to-End Speech Emotion Recognition Using Deep Neural Networks
TL;DR: This model, which was trained end-to-end, is comprised of a Convolutional Neural Network, which extracts features from the raw signal, and stacked on top of it a 2-layer Long Short-Term Memory so as to consider the contextual information in the data.
Proceedings ArticleDOI
The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring
Björn Schuller,Björn Schuller,Stefan Steidl,Anton Batliner,Anton Batliner,Elika Bergelson,Jarek Krajewski,Christoph Janott,Andrei Amatuni,Marisa Casillas,Amdanda Seidl,Melanie Soderstrom,Anne S. Warlaumont,Guillermo Hidalgo,Sebastian Schnieder,Clemens Heiser,Winifried Hohenhorst,Michael Herzog,Maximilian Schmitt,Kun Qian,Yue Zhang,Yue Zhang,George Trigeorgis,Panagiotis Tzirakis,Stefanos Zafeiriou,Stefanos Zafeiriou +25 more
TL;DR: These sub-challenges, their conditions, and the baseline feature extraction and classifiers are described, which include data-learnt feature representations by end-to-end learning with convolutional and recurrent neural networks, and bag-of-audiowords for the first time in the challenge series.
Proceedings ArticleDOI
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats.
Björn Schuller,Stefan Steidl,Anton Batliner,Peter B. Marschik,Harald Baumeister,Fengquan Dong,Simone Hantke,Florian B. Pokorny,Eva-Maria Rathner,Katrin D. Bartl-Pokorny,Christa Einspieler,Dajie Zhang,Alice Baird,Shahin Amiriparian,Kun Qian,Zhao Ren,Maximilian Schmitt,Panagiotis Tzirakis,Stefanos Zafeiriou +18 more
TL;DR: The Sub-Challenges are described, their conditions, and baseline feature extraction and classifiers, which include data-learnt (supervised) feature representations by end-to-end learning, the ‘usual’ ComParE and BoAW features, and deep unsupervised representation learning using the AUDEEP toolkit for the first time in the challenge series.